Update app.py
Browse files
app.py
CHANGED
|
@@ -4,10 +4,12 @@ import requests
|
|
| 4 |
import pandas as pd
|
| 5 |
from io import BytesIO
|
| 6 |
import re
|
| 7 |
-
import ffmpeg
|
|
|
|
| 8 |
|
| 9 |
# --- Tool-specific Imports ---
|
| 10 |
from pytube import YouTube
|
|
|
|
| 11 |
|
| 12 |
# --- LangChain & Dependency Imports ---
|
| 13 |
from groq import Groq
|
|
@@ -22,6 +24,7 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
|
|
| 22 |
TEMP_DIR = "/tmp"
|
| 23 |
|
| 24 |
# --- Tool Definition: Audio File Transcription ---
|
|
|
|
| 25 |
def transcribe_audio_file(task_id: str) -> str:
|
| 26 |
"""
|
| 27 |
Downloads an audio file (.mp3) for a given task_id, transcribes it, and returns the text.
|
|
@@ -40,31 +43,31 @@ def transcribe_audio_file(task_id: str) -> str:
|
|
| 40 |
except Exception as e:
|
| 41 |
return f"Error during audio file transcription: {e}"
|
| 42 |
|
| 43 |
-
# --- Tool Definition: Video Transcription (
|
|
|
|
| 44 |
def transcribe_youtube_video(video_url: str) -> str:
|
| 45 |
"""
|
| 46 |
-
|
| 47 |
Use this tool ONLY when a question provides a youtube.com URL.
|
| 48 |
"""
|
| 49 |
-
print(f"Tool 'transcribe_youtube_video'
|
| 50 |
video_path, audio_path = None, None
|
| 51 |
try:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 52 |
os.makedirs(TEMP_DIR, exist_ok=True)
|
| 53 |
yt = YouTube(video_url)
|
| 54 |
stream = yt.streams.filter(only_audio=True).first()
|
| 55 |
video_path = stream.download(output_path=TEMP_DIR)
|
| 56 |
audio_path = os.path.join(TEMP_DIR, "output.mp3")
|
| 57 |
-
|
| 58 |
-
|
| 59 |
-
(
|
| 60 |
-
ffmpeg
|
| 61 |
-
.input(video_path)
|
| 62 |
-
.output(audio_path, **{'q:a': 0, 'map': 'a'}) # Set audio quality and select audio stream
|
| 63 |
-
.overwrite_output() # Corresponds to the -y flag
|
| 64 |
-
.run(quiet=True) # Use quiet=True to avoid printing ffmpeg logs
|
| 65 |
-
)
|
| 66 |
-
|
| 67 |
-
print(f"Audio extracted to: {audio_path}")
|
| 68 |
client = Groq(api_key=os.getenv("GROQ_API_KEY"))
|
| 69 |
with open(audio_path, "rb") as audio_file:
|
| 70 |
transcription = client.audio.transcriptions.create(file=audio_file, model="whisper-large-v3", response_format="text")
|
|
@@ -72,10 +75,8 @@ def transcribe_youtube_video(video_url: str) -> str:
|
|
| 72 |
except Exception as e:
|
| 73 |
return f"Error during YouTube transcription: {e}"
|
| 74 |
finally:
|
| 75 |
-
# Clean up temporary files
|
| 76 |
if video_path and os.path.exists(video_path): os.remove(video_path)
|
| 77 |
if audio_path and os.path.exists(audio_path): os.remove(audio_path)
|
| 78 |
-
print("Cleaned up temporary files.")
|
| 79 |
|
| 80 |
# --- Agent Definition ---
|
| 81 |
class LangChainAgent:
|
|
@@ -95,9 +96,10 @@ class LangChainAgent:
|
|
| 95 |
"2. **Select ONE tool based on the question:**\n"
|
| 96 |
" - For general knowledge, facts, or current events: use `web_search`.\n"
|
| 97 |
" - For an audio file, .mp3, or voice memo: use `audio_file_transcriber` with the `task_id`.\n"
|
| 98 |
-
" - For a youtube.com URL: use `youtube_video_transcriber` with the URL.\n"
|
| 99 |
" - For anything else (like images, which you cannot see, or math), you must answer directly without using a tool.\n"
|
| 100 |
-
"3. **
|
|
|
|
| 101 |
)),
|
| 102 |
("human", "Question: {input}\nTask ID: {task_id}"),
|
| 103 |
("placeholder", "{agent_scratchpad}"),
|
|
@@ -169,7 +171,7 @@ with gr.Blocks() as demo:
|
|
| 169 |
|
| 170 |
if __name__ == "__main__":
|
| 171 |
print("\n" + "-"*30 + " App Starting " + "-"*30)
|
| 172 |
-
for key in ["GROQ_API_KEY", "TAVILY_API_KEY"]:
|
| 173 |
print(f"✅ {key} secret is set." if os.getenv(key) else f"⚠️ WARNING: {key} secret is not set.")
|
| 174 |
print("-"*(60 + len(" App Starting ")) + "\n")
|
| 175 |
-
demo.launch(debug=True, share=False)
|
|
|
|
| 4 |
import pandas as pd
|
| 5 |
from io import BytesIO
|
| 6 |
import re
|
| 7 |
+
import ffmpeg
|
| 8 |
+
from tenacity import retry, stop_after_attempt, wait_fixed
|
| 9 |
|
| 10 |
# --- Tool-specific Imports ---
|
| 11 |
from pytube import YouTube
|
| 12 |
+
from youtube_transcript_api import YouTubeTranscriptApi, NoTranscriptFound
|
| 13 |
|
| 14 |
# --- LangChain & Dependency Imports ---
|
| 15 |
from groq import Groq
|
|
|
|
| 24 |
TEMP_DIR = "/tmp"
|
| 25 |
|
| 26 |
# --- Tool Definition: Audio File Transcription ---
|
| 27 |
+
@retry(stop=stop_after_attempt(3), wait=wait_fixed(2))
|
| 28 |
def transcribe_audio_file(task_id: str) -> str:
|
| 29 |
"""
|
| 30 |
Downloads an audio file (.mp3) for a given task_id, transcribes it, and returns the text.
|
|
|
|
| 43 |
except Exception as e:
|
| 44 |
return f"Error during audio file transcription: {e}"
|
| 45 |
|
| 46 |
+
# --- Tool Definition: Video Transcription (prioritizing transcripts) ---
|
| 47 |
+
@retry(stop=stop_after_attempt(3), wait=wait_fixed(2))
|
| 48 |
def transcribe_youtube_video(video_url: str) -> str:
|
| 49 |
"""
|
| 50 |
+
Fetches a transcript for a YouTube video from a URL, falling back to download and transcription if needed.
|
| 51 |
Use this tool ONLY when a question provides a youtube.com URL.
|
| 52 |
"""
|
| 53 |
+
print(f"Tool 'transcribe_youtube_video' called with URL: {video_url}")
|
| 54 |
video_path, audio_path = None, None
|
| 55 |
try:
|
| 56 |
+
# Extract video ID and try to fetch official transcript
|
| 57 |
+
video_id = re.search(r"(?:v=|\/)([0-9A-Za-z_-]{11}).*", video_url).group(1)
|
| 58 |
+
transcript = YouTubeTranscriptApi.get_transcript(video_id)
|
| 59 |
+
return ' '.join([entry['text'] for entry in transcript])
|
| 60 |
+
except NoTranscriptFound:
|
| 61 |
+
print("No transcript found; falling back to download and transcribe.")
|
| 62 |
+
# Fallback to original download logic
|
| 63 |
os.makedirs(TEMP_DIR, exist_ok=True)
|
| 64 |
yt = YouTube(video_url)
|
| 65 |
stream = yt.streams.filter(only_audio=True).first()
|
| 66 |
video_path = stream.download(output_path=TEMP_DIR)
|
| 67 |
audio_path = os.path.join(TEMP_DIR, "output.mp3")
|
| 68 |
+
stream = ffmpeg.input(video_path)
|
| 69 |
+
stream = ffmpeg.output(stream, audio_path, q=0, map='a', y='y')
|
| 70 |
+
ffmpeg.run(stream)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 71 |
client = Groq(api_key=os.getenv("GROQ_API_KEY"))
|
| 72 |
with open(audio_path, "rb") as audio_file:
|
| 73 |
transcription = client.audio.transcriptions.create(file=audio_file, model="whisper-large-v3", response_format="text")
|
|
|
|
| 75 |
except Exception as e:
|
| 76 |
return f"Error during YouTube transcription: {e}"
|
| 77 |
finally:
|
|
|
|
| 78 |
if video_path and os.path.exists(video_path): os.remove(video_path)
|
| 79 |
if audio_path and os.path.exists(audio_path): os.remove(audio_path)
|
|
|
|
| 80 |
|
| 81 |
# --- Agent Definition ---
|
| 82 |
class LangChainAgent:
|
|
|
|
| 96 |
"2. **Select ONE tool based on the question:**\n"
|
| 97 |
" - For general knowledge, facts, or current events: use `web_search`.\n"
|
| 98 |
" - For an audio file, .mp3, or voice memo: use `audio_file_transcriber` with the `task_id`.\n"
|
| 99 |
+
" - For a youtube.com URL: use `youtube_video_transcriber` with the URL. If transcription fails, fall back to web_search for video transcripts or summaries.\n"
|
| 100 |
" - For anything else (like images, which you cannot see, or math), you must answer directly without using a tool.\n"
|
| 101 |
+
"3. **Handle Errors:** If a tool fails (e.g., download error), retry once or use web_search to find alternatives.\n"
|
| 102 |
+
"4. **Execute and Answer:** After using a tool, analyze the result and provide ONLY THE FINAL ANSWER without extra text like 'FINAL ANSWER'."
|
| 103 |
)),
|
| 104 |
("human", "Question: {input}\nTask ID: {task_id}"),
|
| 105 |
("placeholder", "{agent_scratchpad}"),
|
|
|
|
| 171 |
|
| 172 |
if __name__ == "__main__":
|
| 173 |
print("\n" + "-"*30 + " App Starting " + "-"*30)
|
| 174 |
+
for key in ["GROQ_API_KEY", "TAVILY_API_KEY", "SPACE_ID"]:
|
| 175 |
print(f"✅ {key} secret is set." if os.getenv(key) else f"⚠️ WARNING: {key} secret is not set.")
|
| 176 |
print("-"*(60 + len(" App Starting ")) + "\n")
|
| 177 |
+
demo.launch(debug=True, share=False)
|